Tracking iPhone Sales Statistics

Project Overview

<table><tbody><tr data-start=\"1531\" data-end=\"2075\"><td data-start=\"1559\" data-end=\"2075\" data-col-size=\"xl\">The notebook initializes NumPy arrays of units sold for ten iPhone models, then builds a DataFrame with columns for Model, Release Year, Base Price, and Units Sold (millions) . It also constructs a regional‐sales DataFrame and uses <code data-start=\"1867\" data-end=\"1877\">tabulate</code> to display summary tables. Finally, it employs Matplotlib to plot sales trends and compare model performances over time .</td></tr></tbody></table><table><tbody><tr data-start=\"2076\" data-end=\"2348\"><td data-start=\"2076\" data-end=\"2104\" data-col-size=\"sm\"></td></tr></tbody></table>